(b) Find the least squares regression line. (Round your numerical values to two decimal places.) y(x) = (c) Calculate the sum of squared error. (Round your answer to two decimal places.)

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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2.6

4.

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Consider the following.
y
(4, 4)
4
(-2, 2)
(2, 2)
(-4, 0)
X
-4
-2
2
4
(a) Sketch the line that appears to be the best fit for the given points.
3.
2.
Transcribed Image Text:Consider the following. y (4, 4) 4 (-2, 2) (2, 2) (-4, 0) X -4 -2 2 4 (a) Sketch the line that appears to be the best fit for the given points. 3. 2.
y
y
(4, 4)
(4, 4)
4
4
3
(-2, 2)
(-2, 2)
(2, 2)
(2, 2)
1
1
K-4, 0)
(-4, 0)
X
X
-4
-2
2
4
-4
-2
2
4
y
y
(4, 4)
(4, 4)
4
(-2, 2)
(-2, 2)
2
(2, 2)
(2, 2)
1
1
(-A, 0)
(-4, 0)
-2
2
4
-2
4
(b) Find the least squares regression line. (Round your numerical values to two decimal places.)
y(x) =
(c) Calculate the sum of squared error. (Round your answer to two decimal places.)
3.
3.
Transcribed Image Text:y y (4, 4) (4, 4) 4 4 3 (-2, 2) (-2, 2) (2, 2) (2, 2) 1 1 K-4, 0) (-4, 0) X X -4 -2 2 4 -4 -2 2 4 y y (4, 4) (4, 4) 4 (-2, 2) (-2, 2) 2 (2, 2) (2, 2) 1 1 (-A, 0) (-4, 0) -2 2 4 -2 4 (b) Find the least squares regression line. (Round your numerical values to two decimal places.) y(x) = (c) Calculate the sum of squared error. (Round your answer to two decimal places.) 3. 3.
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